Overview
Dataset statistics
| Dataset A | Dataset B | |
|---|---|---|
| Number of variables | 12 | 12 |
| Number of observations | 446 | 446 |
| Missing cells | 439 | 423 |
| Missing cells (%) | 8.2% | 7.9% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 45.3 KiB | 45.3 KiB |
| Average record size in memory | 104.0 B | 104.0 B |
Variable types
| Dataset A | Dataset B | |
|---|---|---|
| Numeric | 5 | 5 |
| Categorical | 4 | 4 |
| Text | 3 | 3 |
| Dataset A | Dataset B | |
|---|---|---|
Fare is highly overall correlated with Pclass | Alert not present in this dataset | High correlation |
Pclass is highly overall correlated with Fare | Alert not present in this dataset | High correlation |
Sex is highly overall correlated with Survived | Sex is highly overall correlated with Survived | High correlation |
Survived is highly overall correlated with Sex | Survived is highly overall correlated with Sex | High correlation |
Age has 88 (19.7%) missing values | Age has 88 (19.7%) missing values | Missing |
Cabin has 350 (78.5%) missing values | Cabin has 334 (74.9%) missing values | Missing |
PassengerId has unique values | PassengerId has unique values | Unique |
Name has unique values | Name has unique values | Unique |
SibSp has 293 (65.7%) zeros | SibSp has 302 (67.7%) zeros | Zeros |
Parch has 339 (76.0%) zeros | Parch has 332 (74.4%) zeros | Zeros |
Fare has 8 (1.8%) zeros | Fare has 6 (1.3%) zeros | Zeros |
Reproduction
| Dataset A | Dataset B | |
|---|---|---|
| Analysis started | 2026-01-13 18:41:20.486528 | 2026-01-13 18:41:22.579211 |
| Analysis finished | 2026-01-13 18:41:22.576181 | 2026-01-13 18:41:24.640934 |
| Duration | 2.09 seconds | 2.06 seconds |
| Software version | ydata-profiling v0.0.dev0 | ydata-profiling v0.0.dev0 |
| Download configuration | config.json | config.json |
Variables
PassengerId
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 431.71076 | 447.88117 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 1 | 3 |
| Maximum | 889 | 891 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 1 | 3 |
| 5-th percentile | 44.5 | 45 |
| Q1 | 200.25 | 212.25 |
| median | 419 | 447.5 |
| Q3 | 659.75 | 667 |
| 95-th percentile | 831.25 | 850.75 |
| Maximum | 889 | 891 |
| Range | 888 | 888 |
| Interquartile range (IQR) | 459.5 | 454.75 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 255.86813 | 260.08882 |
| Coefficient of variation (CV) | 0.59268415 | 0.58070944 |
| Kurtosis | -1.2297974 | -1.2253252 |
| Mean | 431.71076 | 447.88117 |
| Median Absolute Deviation (MAD) | 229.5 | 228 |
| Skewness | 0.061066144 | -0.010888186 |
| Sum | 192543 | 199755 |
| Variance | 65468.498 | 67646.195 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 726 | 1 | 0.2% |
| 72 | 1 | 0.2% |
| 756 | 1 | 0.2% |
| 821 | 1 | 0.2% |
| 855 | 1 | 0.2% |
| 246 | 1 | 0.2% |
| 685 | 1 | 0.2% |
| 666 | 1 | 0.2% |
| 64 | 1 | 0.2% |
| 403 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 444 | 1 | 0.2% |
| 835 | 1 | 0.2% |
| 424 | 1 | 0.2% |
| 496 | 1 | 0.2% |
| 499 | 1 | 0.2% |
| 642 | 1 | 0.2% |
| 185 | 1 | 0.2% |
| 857 | 1 | 0.2% |
| 54 | 1 | 0.2% |
| 658 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 8 | 1 | |
| 13 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 8 | 1 | |
| 13 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 |
Survived
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 0 | |
|---|---|
| 1 |
| 0 | |
|---|---|
| 1 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 0 | 1 |
| 2nd row | 0 | 0 |
| 3rd row | 1 | 0 |
| 4th row | 1 | 0 |
| 5th row | 0 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 284 | |
| 1 | 162 |
| Value | Count | Frequency (%) |
| 0 | 269 | |
| 1 | 177 |
Pclass
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 3 | |
|---|---|
| 1 | |
| 2 |
| 3 | |
|---|---|
| 1 | |
| 2 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 3 | 2 |
| 2nd row | 3 | 3 |
| 3rd row | 2 | 3 |
| 4th row | 1 | 3 |
| 5th row | 2 | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 99 | 22.2% |
| 2 | 95 | 21.3% |
| Value | Count | Frequency (%) |
| 3 | 230 | |
| 1 | 124 | |
| 2 | 92 | 20.6% |
Name
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 67 | 67 |
| Median length | 47 | 48 |
| Mean length | 27.255605 | 27.165919 |
| Min length | 12 | 13 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 446 | 446 ? |
| Unique (%) | 100.0% | 100.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | Oreskovic, Mr. Luka | Reynaldo, Ms. Encarnacion |
| 2nd row | Goodwin, Miss. Lillian Amy | Allum, Mr. Owen George |
| 3rd row | Hamalainen, Master. Viljo | Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren) |
| 4th row | Hays, Mrs. Charles Melville (Clara Jennings Gregg) | Yousseff, Mr. Gerious |
| 5th row | Carter, Mrs. Ernest Courtenay (Lilian Hughes) | Allison, Mrs. Hudson J C (Bessie Waldo Daniels) |
| Value | Count | Frequency (%) |
| mr | 266 | 14.6% |
| miss | 91 | 5.0% |
| mrs | 64 | 3.5% |
| william | 40 | 2.2% |
| john | 21 | 1.2% |
| master | 21 | 1.2% |
| henry | 20 | 1.1% |
| thomas | 14 | 0.8% |
| charles | 10 | 0.5% |
| george | 10 | 0.5% |
| Other values (903) | 1268 |
| Value | Count | Frequency (%) |
| mr | 256 | 14.0% |
| miss | 87 | 4.8% |
| mrs | 73 | 4.0% |
| william | 27 | 1.5% |
| master | 22 | 1.2% |
| john | 22 | 1.2% |
| henry | 19 | 1.0% |
| george | 18 | 1.0% |
| james | 14 | 0.8% |
| charles | 13 | 0.7% |
| Other values (916) | 1279 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1379 | 11.3% | |
| r | 976 | 8.0% |
| e | 860 | 7.1% |
| a | 838 | 6.9% |
| i | 684 | 5.6% |
| n | 678 | 5.6% |
| s | 653 | 5.4% |
| M | 557 | 4.6% |
| l | 547 | 4.5% |
| o | 535 | 4.4% |
| Other values (50) | 4449 |
| Value | Count | Frequency (%) |
| 1386 | 11.4% | |
| r | 1017 | 8.4% |
| e | 890 | 7.3% |
| a | 816 | 6.7% |
| n | 671 | 5.5% |
| i | 652 | 5.4% |
| s | 633 | 5.2% |
| M | 565 | 4.7% |
| l | 534 | 4.4% |
| o | 513 | 4.2% |
| Other values (49) | 4439 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 12156 |
| Value | Count | Frequency (%) |
| (unknown) | 12116 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1379 | 11.3% | |
| r | 976 | 8.0% |
| e | 860 | 7.1% |
| a | 838 | 6.9% |
| i | 684 | 5.6% |
| n | 678 | 5.6% |
| s | 653 | 5.4% |
| M | 557 | 4.6% |
| l | 547 | 4.5% |
| o | 535 | 4.4% |
| Other values (50) | 4449 |
| Value | Count | Frequency (%) |
| 1386 | 11.4% | |
| r | 1017 | 8.4% |
| e | 890 | 7.3% |
| a | 816 | 6.7% |
| n | 671 | 5.5% |
| i | 652 | 5.4% |
| s | 633 | 5.2% |
| M | 565 | 4.7% |
| l | 534 | 4.4% |
| o | 513 | 4.2% |
| Other values (49) | 4439 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 12156 |
| Value | Count | Frequency (%) |
| (unknown) | 12116 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1379 | 11.3% | |
| r | 976 | 8.0% |
| e | 860 | 7.1% |
| a | 838 | 6.9% |
| i | 684 | 5.6% |
| n | 678 | 5.6% |
| s | 653 | 5.4% |
| M | 557 | 4.6% |
| l | 547 | 4.5% |
| o | 535 | 4.4% |
| Other values (50) | 4449 |
| Value | Count | Frequency (%) |
| 1386 | 11.4% | |
| r | 1017 | 8.4% |
| e | 890 | 7.3% |
| a | 816 | 6.7% |
| n | 671 | 5.5% |
| i | 652 | 5.4% |
| s | 633 | 5.2% |
| M | 565 | 4.7% |
| l | 534 | 4.4% |
| o | 513 | 4.2% |
| Other values (49) | 4439 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 12156 |
| Value | Count | Frequency (%) |
| (unknown) | 12116 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1379 | 11.3% | |
| r | 976 | 8.0% |
| e | 860 | 7.1% |
| a | 838 | 6.9% |
| i | 684 | 5.6% |
| n | 678 | 5.6% |
| s | 653 | 5.4% |
| M | 557 | 4.6% |
| l | 547 | 4.5% |
| o | 535 | 4.4% |
| Other values (50) | 4449 |
| Value | Count | Frequency (%) |
| 1386 | 11.4% | |
| r | 1017 | 8.4% |
| e | 890 | 7.3% |
| a | 816 | 6.7% |
| n | 671 | 5.5% |
| i | 652 | 5.4% |
| s | 633 | 5.2% |
| M | 565 | 4.7% |
| l | 534 | 4.4% |
| o | 513 | 4.2% |
| Other values (49) | 4439 |
Sex
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| male | |
|---|---|
| female |
| male | |
|---|---|
| female |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 6 | 6 |
| Median length | 4 | 4 |
| Mean length | 4.6995516 | 4.7219731 |
| Min length | 4 | 4 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | male | female |
| 2nd row | female | male |
| 3rd row | male | female |
| 4th row | female | male |
| 5th row | female | female |
Common Values
| Value | Count | Frequency (%) |
| male | 290 | |
| female | 156 |
| Value | Count | Frequency (%) |
| male | 285 | |
| female | 161 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| male | 290 | |
| female | 156 |
| Value | Count | Frequency (%) |
| male | 285 | |
| female | 161 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 602 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 156 | 7.4% |
| Value | Count | Frequency (%) |
| e | 607 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 161 | 7.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2096 |
| Value | Count | Frequency (%) |
| (unknown) | 2106 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 602 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 156 | 7.4% |
| Value | Count | Frequency (%) |
| e | 607 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 161 | 7.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2096 |
| Value | Count | Frequency (%) |
| (unknown) | 2106 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 602 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 156 | 7.4% |
| Value | Count | Frequency (%) |
| e | 607 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 161 | 7.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2096 |
| Value | Count | Frequency (%) |
| (unknown) | 2106 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 602 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 156 | 7.4% |
| Value | Count | Frequency (%) |
| e | 607 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 161 | 7.6% |
Age
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 74 | 77 |
| Distinct (%) | 20.7% | 21.5% |
| Missing | 88 | 88 |
| Missing (%) | 19.7% | 19.7% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 28.683436 | 30.131061 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.67 | 0.42 |
| Maximum | 71 | 80 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.67 | 0.42 |
| 5-th percentile | 3 | 3 |
| Q1 | 19 | 20 |
| median | 28 | 28.25 |
| Q3 | 38 | 39 |
| 95-th percentile | 52.3 | 60 |
| Maximum | 71 | 80 |
| Range | 70.33 | 79.58 |
| Interquartile range (IQR) | 19 | 19 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 14.199761 | 15.582699 |
| Coefficient of variation (CV) | 0.49505092 | 0.51716397 |
| Kurtosis | -0.13480891 | 0.15080241 |
| Mean | 28.683436 | 30.131061 |
| Median Absolute Deviation (MAD) | 9 | 9.25 |
| Skewness | 0.18510529 | 0.43158374 |
| Sum | 10268.67 | 10786.92 |
| Variance | 201.63322 | 242.82052 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18 | 17 | 3.8% |
| 28 | 16 | 3.6% |
| 22 | 15 | 3.4% |
| 25 | 13 | 2.9% |
| 19 | 13 | 2.9% |
| 36 | 12 | 2.7% |
| 20 | 11 | 2.5% |
| 30 | 11 | 2.5% |
| 39 | 10 | 2.2% |
| 31 | 10 | 2.2% |
| Other values (64) | 230 | |
| (Missing) | 88 | 19.7% |
| Value | Count | Frequency (%) |
| 24 | 17 | 3.8% |
| 19 | 15 | 3.4% |
| 18 | 14 | 3.1% |
| 30 | 14 | 3.1% |
| 28 | 13 | 2.9% |
| 35 | 13 | 2.9% |
| 21 | 13 | 2.9% |
| 31 | 11 | 2.5% |
| 26 | 11 | 2.5% |
| 22 | 10 | 2.2% |
| Other values (67) | 227 | |
| (Missing) | 88 | 19.7% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 7 | |
| 6 | 2 | 0.4% |
| 7 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 7 | |
| 6 | 2 | 0.4% |
| 7 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | 0.2% |
SibSp
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 1.6% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.50672646 | 0.54035874 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 8 | 8 |
| Zeros | 293 | 302 |
| Zeros (%) | 65.7% | 67.7% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 1 | 1 |
| 95-th percentile | 2 | 3 |
| Maximum | 8 | 8 |
| Range | 8 | 8 |
| Interquartile range (IQR) | 1 | 1 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 0.93554025 | 1.0982862 |
| Coefficient of variation (CV) | 1.8462431 | 2.0325131 |
| Kurtosis | 13.668635 | 15.794163 |
| Mean | 0.50672646 | 0.54035874 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 3.0652538 | 3.4290739 |
| Sum | 226 | 241 |
| Variance | 0.87523555 | 1.2062327 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 293 | |
| 1 | 117 | 26.2% |
| 2 | 16 | 3.6% |
| 3 | 9 | 2.0% |
| 4 | 8 | 1.8% |
| 5 | 2 | 0.4% |
| 8 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 102 | 22.9% |
| 2 | 16 | 3.6% |
| 3 | 11 | 2.5% |
| 4 | 10 | 2.2% |
| 8 | 3 | 0.7% |
| 5 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 293 | |
| 1 | 117 | 26.2% |
| 2 | 16 | 3.6% |
| 3 | 9 | 2.0% |
| 4 | 8 | 1.8% |
| 5 | 2 | 0.4% |
| 8 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 102 | 22.9% |
| 2 | 16 | 3.6% |
| 3 | 11 | 2.5% |
| 4 | 10 | 2.2% |
| 5 | 2 | 0.4% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 102 | 22.9% |
| 2 | 16 | 3.6% |
| 3 | 11 | 2.5% |
| 4 | 10 | 2.2% |
| 5 | 2 | 0.4% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 293 | |
| 1 | 117 | 26.2% |
| 2 | 16 | 3.6% |
| 3 | 9 | 2.0% |
| 4 | 8 | 1.8% |
| 5 | 2 | 0.4% |
| 8 | 1 | 0.2% |
Parch
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 6 | 6 |
| Distinct (%) | 1.3% | 1.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.37668161 | 0.39013453 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 5 | 5 |
| Zeros | 339 | 332 |
| Zeros (%) | 76.0% | 74.4% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 0 | 1 |
| 95-th percentile | 2 | 2 |
| Maximum | 5 | 5 |
| Range | 5 | 5 |
| Interquartile range (IQR) | 0 | 1 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 0.79706976 | 0.76160179 |
| Coefficient of variation (CV) | 2.1160304 | 1.9521517 |
| Kurtosis | 9.192299 | 5.615292 |
| Mean | 0.37668161 | 0.39013453 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 2.7221748 | 2.2146888 |
| Sum | 168 | 174 |
| Variance | 0.6353202 | 0.58003729 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 339 | |
| 1 | 63 | 14.1% |
| 2 | 35 | 7.8% |
| 3 | 4 | 0.9% |
| 5 | 3 | 0.7% |
| 4 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 332 | |
| 1 | 65 | 14.6% |
| 2 | 42 | 9.4% |
| 3 | 4 | 0.9% |
| 4 | 2 | 0.4% |
| 5 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 339 | |
| 1 | 63 | 14.1% |
| 2 | 35 | 7.8% |
| 3 | 4 | 0.9% |
| 4 | 2 | 0.4% |
| 5 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 332 | |
| 1 | 65 | 14.6% |
| 2 | 42 | 9.4% |
| 3 | 4 | 0.9% |
| 4 | 2 | 0.4% |
| 5 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 332 | |
| 1 | 65 | 14.6% |
| 2 | 42 | 9.4% |
| 3 | 4 | 0.9% |
| 4 | 2 | 0.4% |
| 5 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 339 | |
| 1 | 63 | 14.1% |
| 2 | 35 | 7.8% |
| 3 | 4 | 0.9% |
| 4 | 2 | 0.4% |
| 5 | 3 | 0.7% |
Ticket
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 371 | 383 |
| Distinct (%) | 83.2% | 85.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 18 | 18 |
| Median length | 17 | 17 |
| Mean length | 6.7668161 | 6.8251121 |
| Min length | 4 | 3 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 313 | 339 ? |
| Unique (%) | 70.2% | 76.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 315094 | 230434 |
| 2nd row | CA 2144 | 2223 |
| 3rd row | 250649 | 347080 |
| 4th row | 12749 | 2627 |
| 5th row | 244252 | 113781 |
| Value | Count | Frequency (%) |
| pc | 28 | 5.0% |
| c.a | 12 | 2.2% |
| a/5 | 8 | 1.4% |
| ston/o | 7 | 1.3% |
| 2 | 7 | 1.3% |
| sc/paris | 6 | 1.1% |
| soton/o.q | 5 | 0.9% |
| w./c | 4 | 0.7% |
| ca | 4 | 0.7% |
| ston/o2 | 4 | 0.7% |
| Other values (390) | 473 |
| Value | Count | Frequency (%) |
| pc | 36 | 6.2% |
| c.a | 14 | 2.4% |
| a/5 | 9 | 1.6% |
| ston/o | 6 | 1.0% |
| 2 | 6 | 1.0% |
| ca | 6 | 1.0% |
| w./c | 5 | 0.9% |
| 382652 | 5 | 0.9% |
| f.c.c | 5 | 0.9% |
| 17421 | 4 | 0.7% |
| Other values (403) | 481 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 378 | |
| 1 | 337 | |
| 2 | 302 | |
| 7 | 259 | |
| 4 | 240 | 8.0% |
| 0 | 209 | 6.9% |
| 6 | 207 | 6.9% |
| 5 | 195 | 6.5% |
| 9 | 174 | 5.8% |
| 8 | 117 | 3.9% |
| Other values (25) | 600 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 350 | |
| 2 | 303 | |
| 7 | 246 | 8.1% |
| 4 | 246 | 8.1% |
| 6 | 204 | 6.7% |
| 0 | 197 | 6.5% |
| 5 | 194 | 6.4% |
| 9 | 161 | 5.3% |
| 8 | 135 | 4.4% |
| Other values (22) | 640 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3044 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 378 | |
| 1 | 337 | |
| 2 | 302 | |
| 7 | 259 | |
| 4 | 240 | 8.0% |
| 0 | 209 | 6.9% |
| 6 | 207 | 6.9% |
| 5 | 195 | 6.5% |
| 9 | 174 | 5.8% |
| 8 | 117 | 3.9% |
| Other values (25) | 600 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 350 | |
| 2 | 303 | |
| 7 | 246 | 8.1% |
| 4 | 246 | 8.1% |
| 6 | 204 | 6.7% |
| 0 | 197 | 6.5% |
| 5 | 194 | 6.4% |
| 9 | 161 | 5.3% |
| 8 | 135 | 4.4% |
| Other values (22) | 640 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3044 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 378 | |
| 1 | 337 | |
| 2 | 302 | |
| 7 | 259 | |
| 4 | 240 | 8.0% |
| 0 | 209 | 6.9% |
| 6 | 207 | 6.9% |
| 5 | 195 | 6.5% |
| 9 | 174 | 5.8% |
| 8 | 117 | 3.9% |
| Other values (25) | 600 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 350 | |
| 2 | 303 | |
| 7 | 246 | 8.1% |
| 4 | 246 | 8.1% |
| 6 | 204 | 6.7% |
| 0 | 197 | 6.5% |
| 5 | 194 | 6.4% |
| 9 | 161 | 5.3% |
| 8 | 135 | 4.4% |
| Other values (22) | 640 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3044 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 378 | |
| 1 | 337 | |
| 2 | 302 | |
| 7 | 259 | |
| 4 | 240 | 8.0% |
| 0 | 209 | 6.9% |
| 6 | 207 | 6.9% |
| 5 | 195 | 6.5% |
| 9 | 174 | 5.8% |
| 8 | 117 | 3.9% |
| Other values (25) | 600 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 350 | |
| 2 | 303 | |
| 7 | 246 | 8.1% |
| 4 | 246 | 8.1% |
| 6 | 204 | 6.7% |
| 0 | 197 | 6.5% |
| 5 | 194 | 6.4% |
| 9 | 161 | 5.3% |
| 8 | 135 | 4.4% |
| Other values (22) | 640 |
Fare
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 179 | 185 |
| Distinct (%) | 40.1% | 41.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 31.954296 | 35.230969 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 512.3292 | 512.3292 |
| Zeros | 8 | 6 |
| Zeros (%) | 1.8% | 1.3% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 7.225 | 7.225 |
| Q1 | 7.8958 | 8.0344 |
| median | 13.64585 | 15.925 |
| Q3 | 30.92395 | 32.05935 |
| 95-th percentile | 110.38748 | 120 |
| Maximum | 512.3292 | 512.3292 |
| Range | 512.3292 | 512.3292 |
| Interquartile range (IQR) | 23.02815 | 24.02495 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 51.265369 | 54.455547 |
| Coefficient of variation (CV) | 1.6043342 | 1.5456727 |
| Kurtosis | 37.601079 | 29.427809 |
| Mean | 31.954296 | 35.230969 |
| Median Absolute Deviation (MAD) | 6.39585 | 8.675 |
| Skewness | 5.1510563 | 4.5612181 |
| Sum | 14251.616 | 15713.012 |
| Variance | 2628.1381 | 2965.4066 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.8958 | 23 | 5.2% |
| 13 | 21 | 4.7% |
| 7.75 | 18 | 4.0% |
| 8.05 | 17 | 3.8% |
| 26 | 16 | 3.6% |
| 7.925 | 12 | 2.7% |
| 7.2292 | 9 | 2.0% |
| 10.5 | 8 | 1.8% |
| 0 | 8 | 1.8% |
| 7.8542 | 8 | 1.8% |
| Other values (169) | 306 |
| Value | Count | Frequency (%) |
| 26 | 19 | 4.3% |
| 8.05 | 19 | 4.3% |
| 10.5 | 18 | 4.0% |
| 13 | 17 | 3.8% |
| 7.8958 | 17 | 3.8% |
| 7.75 | 13 | 2.9% |
| 26.55 | 9 | 2.0% |
| 7.925 | 8 | 1.8% |
| 7.2292 | 8 | 1.8% |
| 7.775 | 8 | 1.8% |
| Other values (175) | 310 |
| Value | Count | Frequency (%) |
| 0 | 8 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.75 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.05 | 5 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 2 | 0.4% |
| 7.225 | 6 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 6.45 | 1 | 0.2% |
| 6.75 | 2 | 0.4% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | 0.7% |
| 7.0542 | 1 | 0.2% |
| 7.125 | 4 | |
| 7.225 | 7 | |
| 7.2292 | 8 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 6.45 | 1 | 0.2% |
| 6.75 | 2 | 0.4% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | 0.7% |
| 7.0542 | 1 | 0.2% |
| 7.125 | 4 | |
| 7.225 | 7 | |
| 7.2292 | 8 |
| Value | Count | Frequency (%) |
| 0 | 8 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.75 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.05 | 5 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 2 | 0.4% |
| 7.225 | 6 |
Cabin
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 81 | 91 |
| Distinct (%) | 84.4% | 81.2% |
| Missing | 350 | 334 |
| Missing (%) | 78.5% | 74.9% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 15 | 15 |
| Median length | 3 | 3 |
| Mean length | 3.6145833 | 3.7232143 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 67 | 72 ? |
| Unique (%) | 69.8% | 64.3% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | B69 | C22 C26 |
| 2nd row | C78 | B35 |
| 3rd row | A32 | G6 |
| 4th row | B57 B59 B63 B66 | B86 |
| 5th row | D15 | G6 |
| Value | Count | Frequency (%) |
| b96 | 3 | 2.7% |
| b98 | 3 | 2.7% |
| c92 | 2 | 1.8% |
| c126 | 2 | 1.8% |
| d36 | 2 | 1.8% |
| e33 | 2 | 1.8% |
| f4 | 2 | 1.8% |
| c93 | 2 | 1.8% |
| c22 | 2 | 1.8% |
| c26 | 2 | 1.8% |
| Other values (82) | 91 |
| Value | Count | Frequency (%) |
| c22 | 3 | 2.2% |
| c26 | 3 | 2.2% |
| b96 | 3 | 2.2% |
| b98 | 3 | 2.2% |
| f | 3 | 2.2% |
| b35 | 2 | 1.5% |
| c23 | 2 | 1.5% |
| c25 | 2 | 1.5% |
| f33 | 2 | 1.5% |
| c27 | 2 | 1.5% |
| Other values (92) | 110 |
Most occurring characters
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 31 | 8.9% |
| B | 29 | 8.4% |
| 1 | 28 | 8.1% |
| 3 | 28 | 8.1% |
| 6 | 27 | 7.8% |
| 5 | 20 | 5.8% |
| 9 | 19 | 5.5% |
| 4 | 19 | 5.5% |
| 17 | 4.9% | |
| Other values (8) | 89 |
| Value | Count | Frequency (%) |
| 2 | 44 | |
| C | 42 | |
| B | 40 | 9.6% |
| 6 | 35 | 8.4% |
| 3 | 35 | 8.4% |
| 1 | 27 | 6.5% |
| 5 | 24 | 5.8% |
| 23 | 5.5% | |
| 4 | 23 | 5.5% |
| 8 | 22 | 5.3% |
| Other values (8) | 102 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 417 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 31 | 8.9% |
| B | 29 | 8.4% |
| 1 | 28 | 8.1% |
| 3 | 28 | 8.1% |
| 6 | 27 | 7.8% |
| 5 | 20 | 5.8% |
| 9 | 19 | 5.5% |
| 4 | 19 | 5.5% |
| 17 | 4.9% | |
| Other values (8) | 89 |
| Value | Count | Frequency (%) |
| 2 | 44 | |
| C | 42 | |
| B | 40 | 9.6% |
| 6 | 35 | 8.4% |
| 3 | 35 | 8.4% |
| 1 | 27 | 6.5% |
| 5 | 24 | 5.8% |
| 23 | 5.5% | |
| 4 | 23 | 5.5% |
| 8 | 22 | 5.3% |
| Other values (8) | 102 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 417 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 31 | 8.9% |
| B | 29 | 8.4% |
| 1 | 28 | 8.1% |
| 3 | 28 | 8.1% |
| 6 | 27 | 7.8% |
| 5 | 20 | 5.8% |
| 9 | 19 | 5.5% |
| 4 | 19 | 5.5% |
| 17 | 4.9% | |
| Other values (8) | 89 |
| Value | Count | Frequency (%) |
| 2 | 44 | |
| C | 42 | |
| B | 40 | 9.6% |
| 6 | 35 | 8.4% |
| 3 | 35 | 8.4% |
| 1 | 27 | 6.5% |
| 5 | 24 | 5.8% |
| 23 | 5.5% | |
| 4 | 23 | 5.5% |
| 8 | 22 | 5.3% |
| Other values (8) | 102 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 417 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 31 | 8.9% |
| B | 29 | 8.4% |
| 1 | 28 | 8.1% |
| 3 | 28 | 8.1% |
| 6 | 27 | 7.8% |
| 5 | 20 | 5.8% |
| 9 | 19 | 5.5% |
| 4 | 19 | 5.5% |
| 17 | 4.9% | |
| Other values (8) | 89 |
| Value | Count | Frequency (%) |
| 2 | 44 | |
| C | 42 | |
| B | 40 | 9.6% |
| 6 | 35 | 8.4% |
| 3 | 35 | 8.4% |
| 1 | 27 | 6.5% |
| 5 | 24 | 5.8% |
| 23 | 5.5% | |
| 4 | 23 | 5.5% |
| 8 | 22 | 5.3% |
| Other values (8) | 102 |
Embarked
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 1 | 1 |
| Missing (%) | 0.2% | 0.2% |
| Memory size | 7.0 KiB | 7.0 KiB |
| S | |
|---|---|
| C | |
| Q |
| S | |
|---|---|
| C | |
| Q |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | S | S |
| 2nd row | S | S |
| 3rd row | S | S |
| 4th row | S | C |
| 5th row | S | S |
Common Values
| Value | Count | Frequency (%) |
| S | 326 | |
| C | 83 | 18.6% |
| Q | 36 | 8.1% |
| (Missing) | 1 | 0.2% |
| Value | Count | Frequency (%) |
| S | 323 | |
| C | 84 | 18.8% |
| Q | 38 | 8.5% |
| (Missing) | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| s | 326 | |
| c | 83 | 18.7% |
| q | 36 | 8.1% |
| Value | Count | Frequency (%) |
| s | 323 | |
| c | 84 | 18.9% |
| q | 38 | 8.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 326 | |
| C | 83 | 18.7% |
| Q | 36 | 8.1% |
| Value | Count | Frequency (%) |
| S | 323 | |
| C | 84 | 18.9% |
| Q | 38 | 8.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| S | 326 | |
| C | 83 | 18.7% |
| Q | 36 | 8.1% |
| Value | Count | Frequency (%) |
| S | 323 | |
| C | 84 | 18.9% |
| Q | 38 | 8.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| S | 326 | |
| C | 83 | 18.7% |
| Q | 36 | 8.1% |
| Value | Count | Frequency (%) |
| S | 323 | |
| C | 84 | 18.9% |
| Q | 38 | 8.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| S | 326 | |
| C | 83 | 18.7% |
| Q | 36 | 8.1% |
| Value | Count | Frequency (%) |
| S | 323 | |
| C | 84 | 18.9% |
| Q | 38 | 8.5% |
Interactions
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Correlations
Dataset A
Dataset B
Dataset A
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.000 | 0.173 | -0.213 | 0.086 | 0.299 | 0.123 | -0.191 | 0.242 |
| Embarked | 0.000 | 1.000 | 0.170 | 0.045 | 0.033 | 0.251 | 0.117 | 0.000 | 0.165 |
| Fare | 0.173 | 0.170 | 1.000 | 0.396 | -0.004 | 0.538 | 0.166 | 0.453 | 0.298 |
| Parch | -0.213 | 0.045 | 0.396 | 1.000 | -0.038 | 0.046 | 0.212 | 0.435 | 0.227 |
| PassengerId | 0.086 | 0.033 | -0.004 | -0.038 | 1.000 | 0.000 | 0.000 | -0.093 | 0.124 |
| Pclass | 0.299 | 0.251 | 0.538 | 0.046 | 0.000 | 1.000 | 0.108 | 0.152 | 0.340 |
| Sex | 0.123 | 0.117 | 0.166 | 0.212 | 0.000 | 0.108 | 1.000 | 0.141 | 0.544 |
| SibSp | -0.191 | 0.000 | 0.453 | 0.435 | -0.093 | 0.152 | 0.141 | 1.000 | 0.171 |
| Survived | 0.242 | 0.165 | 0.298 | 0.227 | 0.124 | 0.340 | 0.544 | 0.171 | 1.000 |
Dataset B
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.042 | 0.094 | -0.291 | 0.017 | 0.263 | 0.075 | -0.173 | 0.091 |
| Embarked | 0.042 | 1.000 | 0.213 | 0.072 | 0.000 | 0.287 | 0.076 | 0.116 | 0.108 |
| Fare | 0.094 | 0.213 | 1.000 | 0.421 | 0.001 | 0.467 | 0.180 | 0.450 | 0.259 |
| Parch | -0.291 | 0.072 | 0.421 | 1.000 | 0.016 | 0.000 | 0.250 | 0.447 | 0.121 |
| PassengerId | 0.017 | 0.000 | 0.001 | 0.016 | 1.000 | 0.000 | 0.000 | -0.021 | 0.139 |
| Pclass | 0.263 | 0.287 | 0.467 | 0.000 | 0.000 | 1.000 | 0.090 | 0.142 | 0.346 |
| Sex | 0.075 | 0.076 | 0.180 | 0.250 | 0.000 | 0.090 | 1.000 | 0.254 | 0.519 |
| SibSp | -0.173 | 0.116 | 0.450 | 0.447 | -0.021 | 0.142 | 0.254 | 1.000 | 0.209 |
| Survived | 0.091 | 0.108 | 0.259 | 0.121 | 0.139 | 0.346 | 0.519 | 0.209 | 1.000 |
Missing values
Dataset A
A simple visualization of nullity by column.
Dataset B
A simple visualization of nullity by column.
Dataset A
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset B
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset A
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Dataset B
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Sample
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 725 | 726 | 0 | 3 | Oreskovic, Mr. Luka | male | 20.00 | 0 | 0 | 315094 | 8.6625 | NaN | S |
| 71 | 72 | 0 | 3 | Goodwin, Miss. Lillian Amy | female | 16.00 | 5 | 2 | CA 2144 | 46.9000 | NaN | S |
| 755 | 756 | 1 | 2 | Hamalainen, Master. Viljo | male | 0.67 | 1 | 1 | 250649 | 14.5000 | NaN | S |
| 820 | 821 | 1 | 1 | Hays, Mrs. Charles Melville (Clara Jennings Gregg) | female | 52.00 | 1 | 1 | 12749 | 93.5000 | B69 | S |
| 854 | 855 | 0 | 2 | Carter, Mrs. Ernest Courtenay (Lilian Hughes) | female | 44.00 | 1 | 0 | 244252 | 26.0000 | NaN | S |
| 245 | 246 | 0 | 1 | Minahan, Dr. William Edward | male | 44.00 | 2 | 0 | 19928 | 90.0000 | C78 | Q |
| 684 | 685 | 0 | 2 | Brown, Mr. Thomas William Solomon | male | 60.00 | 1 | 1 | 29750 | 39.0000 | NaN | S |
| 665 | 666 | 0 | 2 | Hickman, Mr. Lewis | male | 32.00 | 2 | 0 | S.O.C. 14879 | 73.5000 | NaN | S |
| 63 | 64 | 0 | 3 | Skoog, Master. Harald | male | 4.00 | 3 | 2 | 347088 | 27.9000 | NaN | S |
| 402 | 403 | 0 | 3 | Jussila, Miss. Mari Aina | female | 21.00 | 1 | 0 | 4137 | 9.8250 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 443 | 444 | 1 | 2 | Reynaldo, Ms. Encarnacion | female | 28.0 | 0 | 0 | 230434 | 13.0000 | NaN | S |
| 834 | 835 | 0 | 3 | Allum, Mr. Owen George | male | 18.0 | 0 | 0 | 2223 | 8.3000 | NaN | S |
| 423 | 424 | 0 | 3 | Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren) | female | 28.0 | 1 | 1 | 347080 | 14.4000 | NaN | S |
| 495 | 496 | 0 | 3 | Yousseff, Mr. Gerious | male | NaN | 0 | 0 | 2627 | 14.4583 | NaN | C |
| 498 | 499 | 0 | 1 | Allison, Mrs. Hudson J C (Bessie Waldo Daniels) | female | 25.0 | 1 | 2 | 113781 | 151.5500 | C22 C26 | S |
| 641 | 642 | 1 | 1 | Sagesser, Mlle. Emma | female | 24.0 | 0 | 0 | PC 17477 | 69.3000 | B35 | C |
| 184 | 185 | 1 | 3 | Kink-Heilmann, Miss. Luise Gretchen | female | 4.0 | 0 | 2 | 315153 | 22.0250 | NaN | S |
| 856 | 857 | 1 | 1 | Wick, Mrs. George Dennick (Mary Hitchcock) | female | 45.0 | 1 | 1 | 36928 | 164.8667 | NaN | S |
| 53 | 54 | 1 | 2 | Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson) | female | 29.0 | 1 | 0 | 2926 | 26.0000 | NaN | S |
| 657 | 658 | 0 | 3 | Bourke, Mrs. John (Catherine) | female | 32.0 | 1 | 1 | 364849 | 15.5000 | NaN | Q |
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 322 | 323 | 1 | 2 | Slayter, Miss. Hilda Mary | female | 30.0 | 0 | 0 | 234818 | 12.3500 | NaN | Q |
| 698 | 699 | 0 | 1 | Thayer, Mr. John Borland | male | 49.0 | 1 | 1 | 17421 | 110.8833 | C68 | C |
| 202 | 203 | 0 | 3 | Johanson, Mr. Jakob Alfred | male | 34.0 | 0 | 0 | 3101264 | 6.4958 | NaN | S |
| 248 | 249 | 1 | 1 | Beckwith, Mr. Richard Leonard | male | 37.0 | 1 | 1 | 11751 | 52.5542 | D35 | S |
| 530 | 531 | 1 | 2 | Quick, Miss. Phyllis May | female | 2.0 | 1 | 1 | 26360 | 26.0000 | NaN | S |
| 385 | 386 | 0 | 2 | Davies, Mr. Charles Henry | male | 18.0 | 0 | 0 | S.O.C. 14879 | 73.5000 | NaN | S |
| 168 | 169 | 0 | 1 | Baumann, Mr. John D | male | NaN | 0 | 0 | PC 17318 | 25.9250 | NaN | S |
| 444 | 445 | 1 | 3 | Johannesen-Bratthammer, Mr. Bernt | male | NaN | 0 | 0 | 65306 | 8.1125 | NaN | S |
| 723 | 724 | 0 | 2 | Hodges, Mr. Henry Price | male | 50.0 | 0 | 0 | 250643 | 13.0000 | NaN | S |
| 144 | 145 | 0 | 2 | Andrew, Mr. Edgardo Samuel | male | 18.0 | 0 | 0 | 231945 | 11.5000 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 130 | 131 | 0 | 3 | Drazenoic, Mr. Jozef | male | 33.0 | 0 | 0 | 349241 | 7.8958 | NaN | C |
| 187 | 188 | 1 | 1 | Romaine, Mr. Charles Hallace ("Mr C Rolmane") | male | 45.0 | 0 | 0 | 111428 | 26.5500 | NaN | S |
| 566 | 567 | 0 | 3 | Stoytcheff, Mr. Ilia | male | 19.0 | 0 | 0 | 349205 | 7.8958 | NaN | S |
| 299 | 300 | 1 | 1 | Baxter, Mrs. James (Helene DeLaudeniere Chaput) | female | 50.0 | 0 | 1 | PC 17558 | 247.5208 | B58 B60 | C |
| 798 | 799 | 0 | 3 | Ibrahim Shawah, Mr. Yousseff | male | 30.0 | 0 | 0 | 2685 | 7.2292 | NaN | C |
| 55 | 56 | 1 | 1 | Woolner, Mr. Hugh | male | NaN | 0 | 0 | 19947 | 35.5000 | C52 | S |
| 795 | 796 | 0 | 2 | Otter, Mr. Richard | male | 39.0 | 0 | 0 | 28213 | 13.0000 | NaN | S |
| 12 | 13 | 0 | 3 | Saundercock, Mr. William Henry | male | 20.0 | 0 | 0 | A/5. 2151 | 8.0500 | NaN | S |
| 869 | 870 | 1 | 3 | Johnson, Master. Harold Theodor | male | 4.0 | 1 | 1 | 347742 | 11.1333 | NaN | S |
| 765 | 766 | 1 | 1 | Hogeboom, Mrs. John C (Anna Andrews) | female | 51.0 | 1 | 0 | 13502 | 77.9583 | D11 | S |
Duplicate rows
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||